Visual Indexing and Retrieval

  • Jenny Benois-Pineau
  • Frédéric Precioso
  • Matthieu Cord

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Jenny Benois-Pineau, Frédéric Precioso, Matthieu Cord
    Pages 1-3
  3. Khalifa Djemal, Jean-Pierre Cocquerez, Frédéric Precioso
    Pages 5-20
  4. Frédéric Precioso, Matthieu Cord
    Pages 21-40
  5. Jenny Benois-Pineau, Aurélie Bugeau, Svebor Karaman, Rémi Mégret
    Pages 41-63
  6. Michel Crucianu, Jenny Benois-Pineau
    Pages 65-81
  7. Georges Quénot, Philippe Joly, Jenny Benois-Pineau
    Pages 83-96
  8. Back Matter
    Pages 97-107

About this book


The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.


Indexing Machine Learning Retrieval Scalability Visual Information

Authors and affiliations

  • Jenny Benois-Pineau
    • 1
  • Frédéric Precioso
    • 2
  • Matthieu Cord
    • 3
  1. 1.University Bordeaux 1LABRI UMR 58000TalenceFrance
  2. 2., Signaux et Systèmes deLaboratoire d'InformatiqueSophia Antipolis CedexFrance
  3. 3.CNRS (UMR 7606), Laboratoire d’InformatiqueUniversité Paris XIParisFrance

Bibliographic information

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